Ajith Suresh

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 47

Top Topics

Privacy Preserving

Vertically Partitioned Data

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai
ScionFL: Efficient and Robust Secure Quantized Aggregation. SaTML (2024)
Gokulnath Pillai, Ajith Suresh, Eikansh Gupta, Vinod Ganapathy, Arpita Patra
Privadome: Delivery Drones and Citizen Privacy. Proc. Priv. Enhancing Technol. 2024 (2) (2024)
Andreas Brüggemann, Robin Hundt, Thomas Schneider, Ajith Suresh, Hossein Yalame
FLUTE: Fast and Secure Lookup Table Evaluations. SP (2023)
Nishat Koti, Shravani Mahesh Patil, Arpita Patra, Ajith Suresh
MPClan: Protocol Suite for Privacy-Conscious Computations. J. Cryptol. 36 (3) (2023)
Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai
ScionFL: Efficient and Robust Secure Quantized Aggregation. IACR Cryptol. ePrint Arch. 2023 (2023)
Najwa Aaraj, Abdelrahaman Aly, Tim Güneysu, Chiara Marcolla, Johannes Mono, Rogerio Paludo, Iván Santos-González, Mireia Scholz, Eduardo Soria-Vazquez, Victor Sucasas, Ajith Suresh
FANNG-MPC: Framework for Artificial Neural Networks and Generic MPC. IACR Cryptol. ePrint Arch. 2023 (2023)
Thomas Schneider, Ajith Suresh, Hossein Yalame
Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries". IEEE Trans. Inf. Forensics Secur. 18 (2023)
Gowri R. Chandran, Raine Nieminen, Thomas Schneider, Ajith Suresh
PrivMail: A Privacy-Preserving Framework for Secure Emails. ESORICS (2) (2023)
Till Gehlhar, Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Hossein Yalame
SafeFL: MPC-friendly Framework for Private and Robust Federated Learning. SP Workshops (2023)
Andreas Brüggemann, Oliver Schick, Thomas Schneider, Ajith Suresh, Hossein Yalame
Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater (Full Version). IACR Cryptol. ePrint Arch. 2023 (2023)
Till Gehlhar, Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Hossein Yalame
SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning. IACR Cryptol. ePrint Arch. 2023 (2023)
Andreas Brüggemann, Robin Hundt, Thomas Schneider, Ajith Suresh, Hossein Yalame
FLUTE: Fast and Secure Lookup Table Evaluations (Full Version). IACR Cryptol. ePrint Arch. 2023 (2023)
Gowri R. Chandran, Raine Nieminen, Thomas Schneider, Ajith Suresh
PrivMail: A Privacy-Preserving Framework for Secure Emails. IACR Cryptol. ePrint Arch. 2023 (2023)
Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Christian Weinert, Hossein Yalame
HyFL: A Hybrid Approach For Private Federated Learning. CoRR (2023)
Nishat Koti, Shravani Patil, Arpita Patra, Ajith Suresh
Poster MPClan: : Protocol Suite for Privacy-Conscious Computations. CCS (2022)
Nishat Koti, Shravani Patil, Arpita Patra, Ajith Suresh
MPClan: Protocol Suite for Privacy-Conscious Computations. CoRR (2022)
Nishat Koti, Shravani Patil, Arpita Patra, Ajith Suresh
MPClan: Protocol Suite for Privacy-Conscious Computations. IACR Cryptol. ePrint Arch. 2022 (2022)
Gokulnath Pillai, Eikansh Gupta, Ajith Suresh, Vinod Ganapathy, Arpita Patra
Privadome: Protecting Citizen Privacy from Delivery Drones. CoRR (2022)
Daniel Günther, Marco Holz, Benjamin Judkewitz, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh
Poster: Privacy-Preserving Epidemiological Modeling on Mobile Graphs. CCS (2022)
Andreas Brüggemann, Thomas Schneider, Ajith Suresh, Hossein Yalame
Poster: Efficient Three-Party Shuffling Using Precomputation. CCS (2022)
Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh
Tetrad: Actively Secure 4PC for Secure Training and Inference. NDSS (2022)
Daniel Günther, Marco Holz, Benjamin Judkewitz, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh
Privacy-Preserving Epidemiological Modeling on Mobile Graphs. CoRR (2022)
Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai
ScionFL: Secure Quantized Aggregation for Federated Learning. CoRR (2022)
Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh
Tetrad: Actively Secure 4PC for Secure Training and Inference. CoRR (2021)
Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame
SynCirc: Efficient Synthesis of Depth-Optimized Circuits for Secure Computation. IACR Cryptol. ePrint Arch. 2021 (2021)
Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh
Tetrad: Actively Secure 4PC for Secure Training and Inference. IACR Cryptol. ePrint Arch. 2021 (2021)
Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame
SynCirc: Efficient Synthesis of Depth-Optimized Circuits for Secure Computation. HOST (2021)
Ajith Suresh
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning. CoRR (2021)
Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame
ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation. USENIX Security Symposium (2021)
Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning. USENIX Security Symposium (2021)
Arpita Patra, Ajith Suresh
BLAZE: Blazing Fast Privacy-Preserving Machine Learning. NDSS (2020)
Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame
ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation. IACR Cryptol. ePrint Arch. 2020 (2020)
Harsh Chaudhari, Rahul Rachuri, Ajith Suresh
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. NDSS (2020)
Arpita Patra, Ajith Suresh
BLAZE: Blazing Fast Privacy-Preserving Machine Learning. IACR Cryptol. ePrint Arch. 2020 (2020)
Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning. IACR Cryptol. ePrint Arch. 2020 (2020)
Megha Byali, Harsh Chaudhari, Arpita Patra, Ajith Suresh
FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning. Proc. Priv. Enhancing Technol. 2020 (2) (2020)
Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning. CoRR (2020)
Arpita Patra, Ajith Suresh
BLAZE: Blazing Fast Privacy-Preserving Machine Learning. CoRR (2020)
Rahul Rachuri, Ajith Suresh
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. CoRR (2019)
Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction. CoRR (2019)
Arpita Patra, Pratik Sarkar, Ajith Suresh
Fast Actively Secure OT Extension for Short Secrets. CoRR (2019)
Rahul Rachuri, Ajith Suresh
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. IACR Cryptol. ePrint Arch. 2019 (2019)
Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction. IACR Cryptol. ePrint Arch. 2019 (2019)
Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction. CCSW@CCS (2019)
Megha Byali, Harsh Chaudhari, Arpita Patra, Ajith Suresh
FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning. IACR Cryptol. ePrint Arch. 2019 (2019)
Arpita Patra, Pratik Sarkar, Ajith Suresh
Fast Actively Secure OT Extension for Short Secrets. NDSS (2017)
Arpita Patra, Pratik Sarkar, Ajith Suresh
Fast Actively Secure OT Extension for Short Secrets. IACR Cryptol. ePrint Arch. 2016 (2016)